services operations

IBM Cloud Private for Data is an
integrated data science, data engineering
and app building platform built on top of
IBM Cloud Private (ICP). The latter is intended
to a) provide all the benefits of cloud
computing but inside your firewall and b)
provide a stepping-stone, should you want
one, to broader (public) cloud deployments.
Further, ICP has a micro-services architecture,
which has additional benefits, which we
will discuss. Going beyond this, ICP for Data
itself is intended to provide an environment
that will make it easier to implement datadriven processes and operations and, more
particularly, to support both the development
of AI and machine learning capabilities, and
their deployment. This last point is important
because there can easily be a disconnect
Executive summary
between data scientists (who often work for
business departments) and the people (usually
IT) who need to operationalise the work of
those data scientists

To free up staff resources to focus on strategic business initiatives, many IT leaders are considering engaging a partner to handle ongoing data center maintenance and optimization. But, too often, data center management services fall short of expectations. Standard care services may be limited in scope, and may not support the range of legacy hardware already in the data center. Conversely, complex managed or outsourced services may involve a costly, fully-customized engagement, in which costs are unpredictable, and control is wrested away from the enterprise. Finally—and perhaps most importantly—many data center management service providers seem to lack the innovative spark that will ensure continuous improvement to data center operations.

Infrastructure is used by customer and employee service and support centers, inbound and outbound telemarketing services, help desk services, government-operated support centers, and other types of structured communications operations.

Transform your business with services that allow you to innovate faster, simplify operations, and reduce risk. Building on an open, software-driven approach that uses virtualization, automation, analytics, and cloud, our networkwide architecture prepares you to respond to new opportunities at digital speed.

Today's supply chains typically include multiple partners, with services and sourcing managed across several organizations and across the world. Companies are increasing their use of third-party suppliers in the execution of key strategic imperatives. This leads to complexity in the supply chain and increased scale and intensity of operations, all of which contribute to global warming.

Most organizations are in the midst of some form of digital transformation (DX),
transforming how they bring products and services to the market—and ultimately
deliver value to their customers. But DX initiatives also bring complexity for the
network operations team. With business-critical services distributed across
multiple clouds, this leads to potential performance issues, especially at
branch locations.
Given these realities, it is no wonder that software-defined wide-area network
(SD-WAN) technology is rapidly going mainstream. Unfortunately, SD-WAN is an
example of the paradox of DX: transformative technology can potentially move the
business to the next level, but the expanded attack surface it creates can expose
the organization to significant risk. That is why an SD-WAN deployment, like every
other DX effort, should be accompanied by a security transformation (SX) that
rethinks outdated principles, broadens protection beyond the data center, and
integrates the security archit

Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to:
• Improve productivity of internal applications
• Increase revenue through enhanced customer interacton and improved customer acquisiiton
• Reduce costs by optimizing operations
• Enhance products and services with "smart" functionality such as vision and voice interaction and control
This paper provided by Dell and Intel® gives executi

Cloud is not simply a new technology platform, it’s a new way of running your IT processes. Success changes relationships with users, with services and with operations. Learn what to anticipate as you embark on cloud – and how to ensure success not just in your datacenter, but in your business.

This paper explores why the older “all or nothing” kind of relationship between business organisations and information security services providers (ISSPs) is giving way to a hybrid model that security professionals can leverage to augment their operations and effectiveness.

Highly complex IT environment with multi-tier application architectures delivering apps and services, detecting and diagnosing code level performance problems can be like looking for a needle in a haystack. While it may be plain to the end user that there is a problem, understanding where that problem originates and exactly what is causing it is difficult, and time consuming. Riverbed OPNET AppInternals Xpert addresses this challenge by combining end-user experience, transaction tracing, and application component monitoring for deep end-to-end application visibility. This latest release facilitates bi-directional workflows between operations and application development to expedite problem resolution. Register to read the full report.